基于马尔科夫链的图像分割，较以往经典图像分割性能有很大提高-Markov chain-based image segmentation, image segmentation performance than the classical past has greatly improved

基于马尔科夫链蒙特卡尔算法的工具箱，适用于数值分析，矩阵变换，目标检测等系列问题解决的实例，有详细的代码辅助说明。-Based on Markov chain Monte Carl algorithm toolbox for numerical analysis, matrix transformations, target detection and other examples of problem solving, a detailed code help.

马尔科夫链的参数训练达到收敛之后得到参数估计-Training Markov parameters obtained parameter estimates after reaching convergence

显著性代码，GBVS算法是一种提取人眼感兴趣区域的算法，与Itti模型不同，采用马尔科夫链，用其平稳分布来提取显著图。-Salient code, interested in the human eye area is extracted by GBVS algorithm,it is unlike Itti model. The markov chain and the stationary distribution is used to extract significant figure.